[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2496":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"view_count":31,"doi":8,"paper":32,"created_at":41},2496,"智慧农业(中英文) 2026 年第 4 期 18 篇论文导读:全链条技术创新与产业治理","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7683494630398149154\u002F","《智慧农业(中英文)》2026 年第 4 期聚焦智慧农业全链条技术创新与产业治理,共刊发 18 篇高水平原创研究,覆盖农情感知、作物视觉识别、农田水土生态、畜禽智慧养殖监测、数字农业理论五大核心板块。江南大学郭亚教授团队创新双分支时序编码网络,嵌入预测不确定度自适应调节机制;中国农科院环发所雷添杰研究员团队融合无人机多光谱影像与 VGG21 网络构建小麦渍水胁迫识别模型;江苏大学张立元副教授团队构建 CNN-LSTM-Transformer 混合时序预测模型,显著提升县域尺度冬小麦早期产量预估精度;西南林业大学杨洁副教授团队研发 Flor-YOLO 轻量化网络。",null,"智慧农业期刊 2026-09-09","2026-09-08T16:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,20,14,6,1,"核心期刊整期18篇论文导读，覆盖农情感知、作物视觉、遥感监测与智慧养殖等全链条方向，方法新颖、信息密度高，具备主题聚合价值。",[23],{"name":9,"url":6},[25,26,27,28,29,30],"智慧农业","智慧养殖","遥感监测","农情感知","作物视觉识别","产量预估",0,{"doi":8,"openalex_id":8,"authors":33,"venue":8,"cited_by_count":31,"oa_url":8,"card":34,"direction":38,"ingested_from":40},[],{"tldr":35,"method":36,"finding":37,"direction":38,"opportunity":39},"本期18篇论文覆盖农情感知、作物识别、水土生态、畜禽监测与数字农业理论五大板块。","双分支时序编码、无人机多光谱+VGG21、CNN-LSTM-Transforme","多模态融合与混合时序模型可显著提升渍水识别与县域冬小麦早期产量预估精度。","智慧农业 \u002F 农业物联网","可将轻量化视觉模型与不确定性自适应机制结合，用于田间实时胁迫诊断与产量预警。","agent","2026-09-15T00:04:27.502226Z"]